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SUMMARY
1-Details : for each site
2-Flow chart
3-Quality control: the objective is to ensure that the data between the center are comparable
4-Risk factor analysis: Comparison between ARDS 18-49 versus No ARDS 18-49
Are there risk factors for ARDS in the population younger than 50 ?
5-Treatment and outcomes : Comparison ARDS 18-49 versus ARDS >50
For ARDS patients, could we identify difference between young and old patients in term of
complication
treatment ( procedure and medication )
lab trajectory
6 - General Descriptive analysis
SITE: FRBDX
ARDS detection: Only ICD-10 J80 or ICD-9 518.82
Number of patient in hospital
Distribution of number of associated ICD10 code/Procedure/Medication/Labs per patient
Number of associated ICD10 code/Procedure/Medication/Labs per patient per day
Length of stay per patient
###Average number of medication per day
Distribution of number of Pa02 samples per groups
Average number of PaO2 per patient
Distribution of number of Pa02 samples per patient between 5 and 20 day of hospitalization
Distribution of Minimal Pa02 value per group
| NO ARDS | ARDS | |
|---|---|---|
| No Pa02 sample between 5-20 days | 429 | 41 |
| At least one Pa02 sample between 5-20 days | 39 | 139 |
SENSIBILITY : 0.77
PPV : 0.78
NPV : 0.91
SPECIFITY : 0.92
| NO ARDS | ARDS | |
|---|---|---|
| No Pa02 sample between 5-20 days | 78 | 2 |
| At least one Pa02 sample between 5-20 days | 3 | 14 |
SENSIBILITY : 0.88
PPV : 0.82
NPV : 0.98
SPECIFITY : 0.96
Age group
Sex group
Patients with and without previous hospitalization in the year before Number of Patients with and without ICD-10/9 between -365 and -8 day before the admission
For the 10 most frequent ICD-10/9 codes for the group ARDS 18-49, in x coordinate the frequency(%) of those code for the group No ARDS 18-49 and in y coordinate the frequency(%) of those code for the group ARDS 18-49
For the 10 most frequent ICD-10/9 codes for the group NO ARDS 18-49, in x coordinate the frequency(%) of those code for the group No ARDS 18-49 and in y coordinate the frequency(%) of those code for the group ARDS 18-49
Before hospitalization due to covid - Percentage of patients with ICD10/9 code
After hospitalization due to covid: Percentage of patients with ICD10/9
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## [[10]]
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## [[11]]
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## [[12]]
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## [[13]]
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## [[15]]
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## [[16]]
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## [[17]]
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## [[18]]
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## [[19]]
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## [[20]]
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## z cells name grob
## 1 1 (1-1,1-1) arrange gtable[arrange]
## 2 2 (2-2,1-1) arrange gtable[arrange]
For the 10 most frequent ICD-10/9 codes for the group ARDS 18-49, in x coordinate the frequency(%) of those code for the group ARDS sup 49 and in y coordinate the frequency(%) of those code for the group ARDS 18-49
For the 10 most frequent ICD-10 codes for the group ARDS sup 49, in x coordinate the frequency(%) of those code for the group ARDS sup 49 and in y coordinate the frequency(%)of those code for the group ARDS 18-49
For the 10 ICD-10/9 with the greatest difference in term of frequency between ARDS sup 49 and ARDS 18-49 groups codes for the group ARDS sup 49 and more frequent for the ARDS 18-49 group , in x coordinate the frequency(%) of those code for the group ARDS sup 49 and in y coordinate the frequency(%)of those code for the group ARDS 18-49
For the 10 ICD-10 with the greatest difference in term of frequency between ARDS sup 49 and ARDS 18-49 groups codes for the group ARDS sup 49 and more frequent for the ARDS sup 49 group , in x coordinate the frequency(%) of those code for the group ARDS sup 49 and in y coordinate the frequency(%)of those code for the group ARDS 18-49
After hospitalization due to covid: Percentage of patients with ICD10/9
Number of patient with at least one medication per medication classes
Number of patient with at least one procedure per medication procedure
Death, death before 28/90days, out the hospital at 28/90 days
Status at 7 days after admission
Status at 28 days after admission
Status at 90 days after admission
Patients with and without rehopitalization after Covid admission
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## [[3]]
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##
## [[4]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[5]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[6]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[7]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[8]]
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## [[9]]
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## [[10]]
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## [[11]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[12]]
## TableGrob (2 x 1) "arrange": 2 grobs
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## [[14]]
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
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## 2 2 (2-2,1-1) arrange gtable[arrange]
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## [[15]]
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## [[16]]
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## [[17]]
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
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## 2 2 (2-2,1-1) arrange gtable[arrange]
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## [[18]]
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
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## 2 2 (2-2,1-1) arrange gtable[arrange]
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## [[19]]
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
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## 2 2 (2-2,1-1) arrange gtable[arrange]
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## [[20]]
## TableGrob (2 x 1) "arrange": 2 grobs
## z cells name grob
## 1 1 (1-1,1-1) arrange gtable[arrange]
## 2 2 (2-2,1-1) arrange gtable[arrange]
Age group
Sex group
Patients with and without previous hospitalization in the year before Number of Patients with and without ICD-10/9 between -365 and -8 day before the admission
Patients with and without rehopitalization after Covid admission
## NULL
## NULL
Number of patients with ICD10/9 per groups
Percentage of patients with ICD10 code
Number of patients with ICD10
Percentage of patients with ICD10
Number of patients with pheno code after hospitalization due to covid
Number of patient with at least one prescription per medication class
Number of patient with at least one procedure per procedure
Status at 7 days after admission
Status at 28 days after admission
Status at 90 days after admission